{"library":"mapie","type":"library","category":null,"description":"MAPIE (Mapping Prediction Intervals) is a scikit-learn-compatible Python library for estimating prediction intervals. It provides tools for both regression and classification tasks, leveraging conformal prediction methods to quantify uncertainty. The current version is 1.3.0, and the library maintains an active release cadence with several major and minor updates per year.","language":"python","status":"active","version":"1.3.0","tags":["scikit-learn","conformal prediction","prediction intervals","machine learning","uncertainty quantification"],"install":[{"cmd":"pip install mapie","imports":["from mapie.regression import MapieRegressor","from mapie.classification import MapieClassifier","from mapie.time_series_regression import MapieTimeSeriesRegressor"]}],"homepage":null,"github":"https://github.com/scikit-learn-contrib/MAPIE","docs":"https://mapie.readthedocs.io/en/latest/","changelog":"https://github.com/scikit-learn-contrib/MAPIE/releases","pypi":"https://pypi.org/project/mapie/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":9.6,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/mapie/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}